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Gemma 2 9B vs Grok-4
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 25.8% higher average benchmark score. Grok-4 supports multimodal inputs. Grok-4 is available on 2 providers. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
1 year newer
Gemma 2 9B
2024-06-27
Grok-4
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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Gemma 2 9B
Average Score:45.0%(+25.8%)
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Grok-4
Average Score:19.2%
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Knowledge Cutoff
Training data recency comparison
Grok-4
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Grok-4
2 providers
xAI
Throughput:
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Gemma 2 9B
Avg Score:45.0%(+25.8%)
Providers:0
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Grok-4
Avg Score:19.2%
Providers:2